[Python] Arguments Not Reaching Plugin Methods When Invoked via Kernel in Semantic Kernel...

I'm working with the Python SDK of Microsoft Semantic Kernel and trying to invoke a plugin function with arguments using agent.invoke(messages, arguments). However, the arguments don't seem to be passed to the plugin method.

1. Defined a plugin and added kernel function
2. Created and added a service - AzureChatCompletion
3. Created a 'ChatCompletionAgent' using the Kernel, Plugin and AzureChatCompletion Service

# Create a Plugin
class DatabrickConnector:
@kernel_function(description="This function gives description about the asked topic")
async def multiply(self, prompt: str, **kwargs) -> str:
return self.client.beta.chat.completions.parse(
model=openai_gpt_deployment_name,
messages=[
{"role": "user", "content": question + kwargs['topic']}
],
)

# Create AzureChatCompletion Service
from semantic_kernel.connectors.ai.open_ai.services.azure_chat_completion import AzureChatCompletion
service_id = "azure-openai"
chat_service = AzureChatCompletion(
service_id=service_id,
deployment_name=openai_gpt_deployment_name,
api_key = openai_api_key,
api_version = openai_api_version,
endpoint = openai_api_base
)

# Creating the kernel and add service, plugin
from semantic_kernel.kernel import Kernel

kernel_RAG = Kernel()
kernel_RAG.add_service(chat_service)
kernel_RAG.add_plugin(DatabrickConnector(), plugin_name="DatabrickConnector")

# Initialize the agent
from semantic_kernel.agents import ChatCompletionAgent

agent = ChatCompletionAgent(
kernel=kernel_RAG,
name="Response_Agent",
instructions="Provide description about the asked topic"
)


response = agent.invoke(messages="Provide very detailed description about ", arguments = KernelArguments(topic = "Semantic Kernel")


Here, the kernel function is getting invoked, but KernelArgument is not getting passed to the function. How do I ensure that kernel function is invoked with the right arguments?

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